Australian Bureau of Statistics
5671.0 - Lending Finance, Australia, Nov 2012
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 16/01/2013
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7 The statistics cover all bank commitments, and all commitments for secured housing finance for owner occupation made by permanent building societies. Of the remaining commitments, the largest lenders for each of secured housing finance for owner occupation, other personal finance, commercial finance and lease finance are covered, so that when calculated separately for each of the four broad categories of purpose finance, at least 95% of Australia-wide finance commitments and at least 90% of each state's finance commitments are covered. While many lenders other than banks are not covered, at least 70% coverage is maintained for all published lender types (including the Other Lenders series and Other Lessors series).
8 The survey coverage of lending finance commitments is maintained and updated by including new lenders as their lending for any of the four categories of finance becomes sufficiently large.
9 From June 2001, the statistics for:
10 From June 2002, the statistics for:
11 Additional smaller lenders are also covered where it is necessary to maintain collection coverage (as specified in paragraph 7).
12 For banks, credit cooperatives, building societies and RFCs, the statistics in this publication are currently derived from returns submitted to the Australian Prudential Regulation Authority (APRA). The Financial Sector (Collection of Data) Act 2001 facilitates the collection of statistical data from the financial sector, with APRA established as the central point for collection of both prudential and statistical data. In October 2001, APRA implemented new reporting forms for building societies and credit cooperatives. New reporting forms were implemented for banks in March 2002, and for RFCs in March 2003. APRA commenced collecting loan commitments data from banks, credit cooperatives and building societies in July 2002, and from RFCs in March 2003.
13 Secured housing finance commitments for owner occupied housing from banks, building societies and credit cooperatives are derived from ARF 392.0 Housing Finance form collected by APRA. Personal finance commitments from these lenders are sourced from the ARF 394.0 Personal Finance form. Commercial finance commitments from these lenders are sourced from the ARF 391.0 Commercial Finance form and from the ARF 394.0 Personal Finance form for fixed loans for personal investment purposes. Lease finance commitments are sourced from the ARF 393.0 Lease Finance form.
14 Finance commitments for RFCs are collected on the RRF 391.0 Commercial Finance (commercial finance commitments), RRF 392.0 Housing Finance (secured housing finance commitments for owner occupied housing), RRF 393.0 Lease Finance (lease finance commitments) and RRF 394.0 Personal Finance (personal finance commitments and commercial finance commitments).
15 Electronic versions of the forms and instructions for ADIs are available on the APRA website at http://www.apra.gov.au/Statistics/Reporting-forms-and-instructions-ADIs.cfm. For RFCs, these are available at: http://www.apra.gov.au/nonreg/Pages/default.aspx.
16 All other institutions, including securitisation vehicles, are collected directly by the ABS.
17 Revisions to previously published statistics are included in the publication as they occur.
18 Changes in the classification of lenders (e.g. the conversion of a permanent building society to a bank) are reflected in the Lender series from the month of the change. Data for earlier periods for such lenders are not reclassified. Details of the establishment of new banks are published in the Reserve Bank of Australia's monthly Bulletin in the section on Technical Notes to Tables.
19 Seasonal adjustment is a means of removing the estimated effects of normal seasonal variation and ‘trading day effects’. A ‘trading day effect’ reflects the varying amounts of activity on different days of the week and the different number of days of the week in any month (i.e. the number of Sundays, Mondays, etc.). This effect may be partly caused by the reporting practices of the lenders. Adjustment is also made for Easter which may affect the March and April estimates differently. Trading day effects are removed from the original estimates prior to the seasonal adjustment process. Seasonal adjustment does not remove the effect of irregular or non-seasonal influences (e.g. a change in interest rates) from the seasonally adjusted series.
20 Estimation of seasonal adjustment and trading day factors that reflect the full effect of recent developments is not possible until a sufficient number of years of data have been collected. When changes are occurring in the seasonal patterns, larger revisions to the seasonally adjusted series can be expected at the time of the biennial seasonal reanalysis. Accordingly, the trend estimate data provide a more reliable indicator of underlying movement in housing finance commitments. (See paragraphs 23 and 24 for further information on trend estimates).
21 The lending finance series uses a concurrent seasonal adjustment methodology to derive the seasonal adjustment factors. This means that original estimates available at the current reference month are used to estimate seasonal factors for the current and previous months. As a result of this methodology, the seasonally adjusted and trend estimates for earlier periods can be revised each month. However, in most instances, the only noticeable revisions will be to the previous month and the same month a year ago.
22 Autoregressive integrated moving average (ARIMA) modelling can improve the revision properties of the seasonally adjusted and trend estimates. ARIMA modelling relies on the characteristics of the series being analysed to project future period data. The projected values are temporary, intermediate values, that are only used internally to improve the estimation of the seasonal factors. The projected data do not affect the original estimates and are discarded at the end of the seasonal adjustment process. The lending finance collections use an individual ARIMA model for the majority of the series in this publication. The ARIMA model is assessed as part of the biennial (once every two years) reanalysis. The next reanalysis is scheduled for the November 2014 issue. For more information on ARIMA modelling see Feature article: Use of ARIMA modelling to reduce revisions in the October 2004 issue of Australian Economic Indicators (cat. no. 1350.0).
23 Smoothing seasonally adjusted series reduces the impact of the irregular component of the seasonally adjusted series and creates trend estimates. These trend estimates are derived by applying a 13 term Henderson-weighted moving average to all but the last six months of the respective seasonally adjusted series. Trend series are created for the last six months by applying surrogates of the Henderson moving average to the seasonally adjusted series. For further information, refer to Information Paper: A Guide to Interpreting Time Series - Monitoring Trends: An Overview (cat. no. 1349.0) or contact the Assistant Director, Time Series Analysis on Canberra (02) 6252 6345 or by email at firstname.lastname@example.org.
24 While the smoothing technique described in paragraph 23 enables trend estimates to be produced for the latest few months, it does result in revisions to the trend estimates as new data become available. Generally, revisions become smaller over time and, after three months, usually have a negligible impact on the series. Changes in the original data and re-estimation of seasonal factors may also lead to revisions to the trend.
EFFECTS OF ROUNDING
25 Where figures have been rounded, discrepancies may occur between sums of the component items and totals. Changes in dollar value and percentage terms presented in the commentary are based on rounded data and may differ slightly from changes in dollar values and percentage terms calculated from the unrounded data presented in the time series tables.
ABS DATA AVAILABLE ON REQUEST
26 Estimates for months prior to those shown in this publication and more detailed series are available in spreadsheet format from the Australian Bureau of Statistics (ABS) website. For more information, contact the ABS National Information and Referral Service on 1300 135 070.
27 Users may also wish to refer to the following ABS releases:
28 In addition, the Reserve Bank of Australia (RBA) produces the monthly Reserve Bank of Australia Bulletin, the tables of which are available on the RBA web site http://www.rba.gov.au. The Australian Prudential Regulation Authority (APRA) also publishes a range of finance statistics on its website http://www.apra.gov.au.
29 Current publications and other products released by the ABS are available from the Statistics View. The ABS also issues a daily Release Advice on the ABS website http://www.abs.gov.au which details products to be released in the week ahead.
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This page last updated 12 February 2013